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[CfP] Extended deadline: 15th International Workshop on Neural-Symbolic Learning and Reasoning (Virtual) NeSy’2021

From: Ernesto Jimenez-Ruiz <ernesto.jimenez.ruiz@gmail.com>
Date: Tue, 29 Jun 2021 11:58:46 +0100
Message-ID: <CA+VyRy80xkJUsDjH_oB8xfUtO0gxZkV1HLaKHsqiJHmggYg1OA@mail.gmail.com>
To: semantic-web@w3.org
15th International Workshop on Neural-Symbolic Learning and Reasoning

***Submission Deadline: July 7, 2021 (Anywhere on Earth)***

Workshop webpage: https://sites.google.com/view/nesy20/

NeSy 2021 will be collocated with 1st International Joint Conference on
Learning & Reasoning (IJCLR) and will be an online event.

NeSy is the annual workshop of the Neural-Symbolic Learning and Reasoning
Association: http://www.neural-symbolic.org/. The goal of Neural-Symbolic
Integration is to combine neural networks' robust learning mechanisms with
symbolic knowledge representation, reasoning, and explanation capability in
ways that retain the strengths of each paradigm.

NeSy invites theoretical and applied submissions that span both
connectionist and symbolic learning paradigms. We further invite papers
detailing experimental and in-the-wild neural-symbolic systems and papers
on topics where neural-symbolic learning has a strong use case. Topics of
interest include, but are not limited to:

 - Knowledge representation and reasoning in deep neural networks
 - Symbolic knowledge extraction from neural and statistical learning models
 - Explainable AI models, systems, and techniques that integrate
connectionist and symbolic paradigms
 - Neural-symbolic cognitive models
 - Biologically-inspired neural-symbolic integration
 - Continual learning, integration of logic and probabilities with neural
 - Neural-symbolic methods for structured learning tasks, including
transfer, meta, and relational learning
 - Novel connectionist systems able to perform traditionally symbolic AI
tasks (e.g. logical deduction)
 - Novel symbolic systems able to perform traditionally connectionist tasks
(e.g. unstructured data analysis)
 - Applications in simulation, finance, robotics, the semantic web,
software engineering, systems engineering, bioinformatics, and visual

The workshop will include the following sessions:
 - Semantic Web and Deep Learning
 - NeSy and Continual Learning
 - NeSy for Explainable AI
 - Industry/application track


Researchers and practitioners are invited to submit original papers that
have not been submitted for review or published elsewhere. Submitted papers
must be written in English, should be formatted using a single column and
11pt font, and should not exceed 8 pages in the case of research and
experience papers, or 4 pages in the case of position papers (including
figures, bibliography and any appendices). You are encouraged to use the
CEUR Latex template or the CEUR Word template.

All submitted papers will be judged based on their relevance, originality,
significance, technical quality and organisation. Papers must be submitted
through EasyChair at https://easychair.org/conferences/?conf=ijclr2021
(select NeSy as Track).


All accepted papers will be published by CEUR and must be presented online
at the workshop. Revised and extended versions of the best papers will be
invited for submission to the NeSy journal track. A selection of the
accepted papers will be chosen for poster presentation.

Important Dates:

 - Deadline for paper submission: 7 July 2021 (extended deadline)
 - Notification of paper acceptance: August 2021
 - Camera-ready paper due: September 2021
 - NeSy Workshop dates: 25-27 October 2021

NeSy’2021 Workshop organizers:

 - Artur d'Avila Garcez, City, University of London, UK
 - Natalia Diaz Rodriguez, ENSTA ParisTech, FR
 - Ernesto Jimenez-Ruiz, City, University of London, UK
 - Dagmar Gromann, University of Vienna, AT
 - Freddy Lecue, INRIA and Thales, Montreal, CA
 - Derek Doran, Wright State University, OH, USA

NeSy’2021 Special Session organisers:

 - Deep Learning and Semantic Web - Dagmar Gromann, University of Vienna,

 - Continual Learning - Natalia Díaz Rodríguez, ENSTA ParisTech, Danny
Silver, Acadia University, Canada.

 - NeSy for XAI - Freddy Lecue, Thales Montreal, Veronika Thost, MIT-IBM
Watson AI Lab.

 - NeSy applications and industry track - Michael Spranger, Sony CSL, Alex
Jaimes, Dataminr, Dan Philps, Rothko Investment.

NeSy’2021 Tutorial organisers:

 - NeSy and the Semantic Web - Pascal Hitzler, Kansas State University, USA.

 - NeSy meets Continual Learning - Danny Silver, Acadia University, Canada.

 - NeSy for XAI - Artur d'Avila Garcez, Benedikt Wagner and Adam White,
City, University of London.

 - Please join the NeSy association and mailing list by following this
link: https://www.city-data-science-institute.com/nesy

Ernesto Jiménez-Ruiz
Lecturer in Artificial Intelligence

Department of Computer Science
School of Mathematics, Computer Science and Engineering
City, University of London
T: +44 (0)20 7040 0212
Received on Tuesday, 29 June 2021 11:00:11 UTC

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